Results
METRINO open outputs library
A searchable overview of peer-reviewed articles, supporting datasets, public project deliverables and standardisation-related outputs connected to METRINO’s work on nanomedicine characterisation, reference materials and measurement comparability.
30 records shown. Filter by WP, material, technique, year or type.
Resch-Genger U.; Poul L.; Sack F.; Parot J.; et al. Zenodo report, version v1, published 6 July 2026. DOI: 10.5281/zenodo.21227912. CC BY 4.0.
Why this matters: This strategic WP1 output consolidates METRINO’s experience in developing nanomedicine reference-material candidates and identifies priorities for future development, provision and measurement comparability.
Silva B.; Gerina M. Zenodo dataset, published 14 June 2026. DOI: 10.5281/zenodo.20684412. CC BY 4.0.
Why this matters: This Empa contribution makes the SAXS data, processing and fitting scripts, and analysis results for the IONP10 and UCNP20 candidates available for transparent inspection and reuse. It should not be read as a consolidated dataset from every WP1 partner.
METRINO Deliverable D3. Version 1, published 13 July 2026. DOI: 10.5281/zenodo.21641655. CC BY 4.0.
Why this matters: D3 brings together nine tested procedures for particle size, number concentration and surface characterisation, alongside broader decision tables supporting method selection. The decision tables draw on wider project experience, so not every listed option has a dedicated SOP.
Open deliverableDOIExplore the WP2 resultBrowse related SOPs
LGC; LNE; University of Pavia; SMD; Empa; BAM; PTB. METRINO Deliverable D5, version 2, published 24 July 2026. DOI: 10.5281/zenodo.21536481. CC BY 4.0.
Why this matters: This public deliverable brings together protocols for matrix spiking, nanoparticle extraction and AF4-based fractionation in biological matrices. The record points to the corrected public version.
Open deliverableDOIExplore the WP3 resultBrowse related protocols
METRINO Deliverable D6. Version 1, published 28 July 2026. DOI: 10.5281/zenodo.21646537. CC BY 4.0.
Why this matters: D6 consolidates validated MD-AF4 and SEC protocols for lipid nanoparticles, liposomes and metal oxide nanoparticles, together with a complementary SAXS workflow for direct analysis in biological media. It reports performance evidence, critical operating parameters, applicability domains and limitations to support more reliable and comparable fractionation and characterisation across laboratories.
Open deliverableDOIExplore the WP3 resultBrowse related SOPs
METRINO Deliverable D7. Version 1, published 30 April 2026. DOI: 10.5281/zenodo.21537147. CC BY 4.0.
Why this matters: D7 consolidates preparation and analytical SOPs for tissue phantoms, engineered models, cells and tissues, including approaches for nanoparticle uptake, distribution, localisation, imaging and quantification.
Open deliverableDOIExplore the WP4 resultBrowse related SOPs
METRINO Deliverable D8. Version 1, published 30 April 2026. DOI: 10.5281/zenodo.21641447. CC BY 4.0.
Why this matters: D8 provides the interlaboratory evidence supporting the WP4 pathway. It shows where complementary approaches converge, where they answer different questions and where practical limitations remain; it does not imply that every method is interchangeable or universally validated.
Open deliverableDOIExplore the WP4 resultSee the related pathway
Minelli C.; Parot J.; Alasonati E.; Altskär A.; et al. European Journal of Pharmaceutical Sciences 222, 107556.
Why this matters: This METRINO tutorial compares complementary dimensional, structural and chemical methods across well-defined liposome and LNP systems. It shows why no single technique captures their full complexity and supports more robust method selection and future harmonisation.
Read paperDOISupporting datasetExplore the WP2 resultD4 accepted manuscript
Minelli C.; Parot J.; Alasonati E.; Altskär A.; et al. Zenodo dataset, published 8 June 2026. DOI: 10.5281/zenodo.20595798. CC BY 4.0.
Why this matters: The dataset exposes the measurements underlying the tutorial’s comparison of liposome and LNP characterisation methods, strengthening traceability and enabling readers to inspect and reuse the supporting evidence.
Matiushkina A.; Brehme S.; Tavernaro I.; Andresen E.; et al. Analytical and Bioanalytical Chemistry 418, 5181–5191.
Why this matters: This METRINO-funded study cross-validates complementary approaches to citrate-ligand quantification and shows how method- and nanomaterial-specific effects can influence results. It supports more reliable surface characterisation through multimethod measurement schemes.
Maceratesi V.; Doveri L. R.; Engel N.; Cantoni E.; et al. Nanoscale Advances 8, 3136–3150.
Why this matters: This METRINO study compares complementary particle-sizing measurands and shows why effective sampling volume and measurement length scale are especially important when interpreting chemical homogeneity in a complex nanomedicine formulation.
Read paperDOIZenodo entryExplore the WP2 resultRelated Academy session
Maceratesi V.; Doveri L. R.; Engel N.; Cantoni E.; et al. Zenodo dataset, version 1, published 10 February 2026. DOI: 10.5281/zenodo.20465258.
Why this matters: This 5 MB dataset exposes the measurements underlying the associated METRINO paper, allowing readers to inspect and reuse the evidence behind its comparison of sizing and chemical-homogeneity approaches.
Caebergs T.; de Carsalade du Pont V.; Matiushkina A. Zenodo dataset.
Why this matters: The dataset documents retention-time approaches for estimating the size distribution of small iron oxide nanoparticles when the MALS signal provides limited size information.
Sapalidis D.; Andresen E.; Matiushkina A.; Resch-Genger U.; Neels A.; Silva B. F. B. Zenodo dataset.
Why this matters: These processed SAXS and DLS data support research on cluster formation and electrostatic stabilisation in upconversion nanoparticle systems.
Mortati L.; Nikolić M.; Sjövall P. Zenodo dataset.
Why this matters: This consolidated dataset supports comparison between TPEF, LA-ICP-MS and ToF-SIMS measurements on UCNP calibrators and 3D cell-tissue models.
Van Acker T.; Vanhaecke F. Zenodo dataset.
Why this matters: This method-specific dataset makes the LA-ICP-MS elemental mapping component of the WP4 correlative imaging work available for reuse and inspection.
Gogos A.; Bottone D. Zenodo dataset.
Why this matters: This record provides the raw data used for Table 11 of METRINO Deliverable D8, supporting traceability from the reported comparison back to the underlying measurements.
Rua-Ibarz A.; Nakadi F. V.; Bolea-Fernandez E.; Bazo A.; et al. Analytical Chemistry 97, 24065–24072.
Why this matters: This project-linked publication acknowledges METRINO funding and evaluates single-event MINP-MS for discrete entities including iron oxide nanoparticles, cells and microplastics. It is included as METRINO-supported research, not as a flagship output assigned to a specific WP.
Gogos A.; Gerken L. Zenodo dataset.
Why this matters: This record provides the raw elemental-analysis data and recovery calculations underlying the METRINO paper on HF-free digestion of Ti, Zr and Hf oxides.
Gerken L.; Roesslein M.; Herrmann I.; Gogos A. Analytical Methods 17, 5334 to 5342.
Why this matters: This work supports safer analytical preparation strategies for oxide nanomaterials, helping improve robust characterisation workflows.
Read paperDOIRepository entryExplore the WP2 resultRelated METRINO article
Kissling V.; Eitner S.; Bottone D.; Cereghetti G.; Wick P. Advanced Healthcare Materials 14.
Why this matters: This work supports robust TEM sample preparation and imaging practices relevant to nanomedicine characterisation.
Deumer J.; Andresen E.; Gollwitzer C.; Schürmann R.; Resch Genger U. Analytical Chemistry 96, 19004 to 19011.
Why this matters: This work supports the development of shape-defined nanoscale reference materials for more comparable sizing and particle concentration measurements.
Read paperDOIRepository entryExplore the WP1 resultRelated METRINO article
Deumer J.; Andresen E.; Gollwitzer C.; Schürmann R.; Resch Genger U. Dataset repository.
Why this matters: This dataset provides supporting SAXS data linked to bipyramidal nanoparticle characterisation and reference material development.
Caputo F.; Favre G.; Borchard G.; Calzolai L.; Fisicaro P.; Frejafon E.; Günday Türel N.; Koltsov D.; Minelli C.; Nelson B. C.; Parot J.; Prina Mello A.; Zou S.; Ouf F. X. Drug Delivery and Translational Research 14, 2578 to 2588.
Why this matters: This paper provides international standardisation context directly aligned with METRINO’s priorities for harmonised methods and reference materials.
Read paperDOIRepository entryExplore the WP5 contextRelated METRINO article
Tavernaro I.; Abram S.-L.; Scholtz L.; et al. Analytical and Bioanalytical Chemistry, published 8 October 2026. DOI: 10.1007/s00216-026-06854-y. CC BY 4.0.
Why this matters: This METRINO-supported study develops and characterises aminated silica candidate test materials for interlaboratory comparisons, combining complementary measurements of particle properties and surface amino groups.
Bottone D.; Gerken L. R. H.; Habermann S.; et al. Small, Early View, e75947, first published 27 October 2026. DOI: 10.1002/smll.75947. Open access.
Why this matters: This METRINO-supported study combines volume electron microscopy and segmentation to quantify gold nanoparticle distributions alongside cellular structures in tumour spheroids.
Matiushkina A.; Abram S.-L.; Tavernaro I.; et al. Analytical Chemistry 97(36), 19627–19634. Published online 29 August 2025. DOI: 10.1021/acs.analchem.5c03024. CC BY 4.0.
Why this matters: This METRINO-supported study compares selective and nonselective methods for quantifying citrate ligands on iron oxide nanoparticles, showing how complementary measurements and suitable sample preparation help distinguish citrate from other organic surface residues.
Tavernaro I.; Rajotte I.; Thibeault M.-P.; et al. Nanoscale Advances 7(21), 6888–6900. First published 10 September 2025. DOI: 10.1039/D5NA00794A. Open access.
Why this matters: This METRINO-supported study compares measurements of amino functional groups on silica nanoparticles, using a bilateral laboratory study to identify method-dependent measurands, refine quantitative NMR workflows and assess the value of complementary surface-analysis methods.
Abram S.-L.; Matiushkina A.; Cant D.; Engel N.; et al. The Journal of Physical Chemistry Letters 17(43), 12248–12255. Published online 2 September 2026. DOI: 10.1021/acs.jpclett.6c02495. CC BY 4.0.
Why this matters: This METRINO-supported study uses SAXS-derived electron densities to refine XPS and HAXPES estimates of silica-shell thickness on iron oxide and upconversion nanoparticles, improving agreement with complementary TEM and SAXS measurements.
Gollwitzer C.; Resch-Genger U.; Alasonati E.; Mortati L.; Nadal C.; Ceccaldi A.; Caputo F.; Schürmann R. Zenodo report, published 8 October 2026. DOI: 10.5281/zenodo.23244295. CC BY 4.0.
Why this matters: This final public report brings together METRINO’s reference-material candidates, measurement methods, good-practice guidance, tissue phantoms and interlaboratory-comparison evidence, alongside outcomes for research, industry and standardisation.
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Sources: records were consolidated from the EURAMET Research Publications Repository and the METRINO Zenodo community. Last updated: 3 November 2026. The library is updated as additional public METRINO outputs become available.
